Here we assess E2open, the largest pure cloud supply chain solution provider. E2open has acquired many ADSA-relevant best-of-breed applications such as multi-tier supplier and outsourced manufacturing management, transportation and logistics, global trade management, demand sensing, S&OP/business planning, and multi-tier channel management.
Anything related to innovation in technology, practices, policies, products, etc.
AI/ML requires a reimagining of the system development and adoption lifecycle. We discuss the move to a more agile approach, potential use of AI/ML for data cleansing, and the new skillsets and changing roles and responsibilities required.
Analytics can be used to improve carrier performance, enabling data-driven negotiations, improving delivery performance, reliability, responsiveness, and information sharing.
We examine the potential for AI/ML in enabling an ‘always on’ business model via continuous planning and execution. As well, we look at how AI/ML is a foundation for autonomous supply chains.
The mandatory adoption of ELDs provides all kinds of data that can be used to improve driver performance in many ways. Analytics can also be used to improve route and service planning, optimizing the cost of service tradeoffs.
Our assessment of ANVYL, a platform for managing out-sourced production and suppliers, monitoring and dealing with disruption in production and logistics, with integrated sourcing and procurement tools.
How shippers and carriers can leverage analytics to improve the performance of their private fleets using near-real-time shipment location data, combined with customer orders, routing plans, electronic proof-of-delivery data, service/work order schedules, vehicle inspection/maintenance data, and other sources of data.
We examine both optimization metrics and top-level metrics for measuring improvements from a TCR initiative, where salespeople have full visibility into the supply chain implications of the deals they make with customers and how to improve profitability using that knowledge.
A discussion of how AI/ML can help companies become more resilient and deal with change and uncertainty.
The first installment of our ADSA solution assessments focuses on Alloy, a solution for CPG companies to improve their downstream visibility and build a supply chain driven by end-consumer demand.
With Transparent Cost-to-serve Customer Relationships (TCR), the salesperson has full visibility into the cost-to-serve implications of the customers’ requests, such as requests for short-supply items, special services, custom pack sizes, specific delivery dates, and frequent small quantity orders. Here we examine a potential path to achieving TCR.